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Big Data Essentials: HDFS, MapReduce and Spark RDD(으)로 돌아가기

Yandex의 Big Data Essentials: HDFS, MapReduce and Spark RDD 학습자 리뷰 및 피드백

4.0
별점
501개의 평가
134개의 리뷰

강좌 소개

Have you ever heard about such technologies as HDFS, MapReduce, Spark? Always wanted to learn these new tools but missed concise starting material? Don’t miss this course either! In this 6-week course you will: - learn some basic technologies of the modern Big Data landscape, namely: HDFS, MapReduce and Spark; - be guided both through systems internals and their applications; - learn about distributed file systems, why they exist and what function they serve; - grasp the MapReduce framework, a workhorse for many modern Big Data applications; - apply the framework to process texts and solve sample business cases; - learn about Spark, the next-generation computational framework; - build a strong understanding of Spark basic concepts; - develop skills to apply these tools to creating solutions in finance, social networks, telecommunications and many other fields. Your learning experience will be as close to real life as possible with the chance to evaluate your practical assignments on a real cluster. No mocking, a friendly considerate atmosphere to make the process of your learning smooth and enjoyable. Get ready to work with real datasets alongside with real masters! Special thanks to: - Prof. Mikhail Roytberg, APT dept., MIPT, who was the initial reviewer of the project, the supervisor and mentor of half of the BigData team. He was the one, who helped to get this show on the road. - Oleg Sukhoroslov (PhD, Senior Researcher at IITP RAS), who has been teaching MapReduce, Hadoop and friends since 2008. Now he is leading the infrastructure team. - Oleg Ivchenko (PhD student APT dept., MIPT), Pavel Akhtyamov (MSc. student at APT dept., MIPT) and Vladimir Kuznetsov (Assistant at P.G. Demidov Yaroslavl State University), superbrains who have developed and now maintain the infrastructure used for practical assignments in this course. - Asya Roitberg, Eugene Baulin, Marina Sudarikova. These people never sleep to babysit this course day and night, to make your learning experience productive, smooth and exciting....

최상위 리뷰

YH
2018년 11월 21일

Everything in this course is new to me, but it provides me with many practice so I can gradually get familiar with all these new stuff. I find it a bit challenging, but overall it's quite good.

SH
2019년 5월 9일

The course takes you from basic level , step level .But It is quite fast for beginners , you may need pause video in between and try to understand the concept.

필터링 기준:

Big Data Essentials: HDFS, MapReduce and Spark RDD의 131개 리뷰 중 101~125

교육 기관: Anand S

2019년 1월 3일

Great Course

교육 기관: Rumen K

2020년 1월 22일

good

교육 기관: Всеволод Г

2020년 4월 7일

The main drawback of the course are the practical assignments. It was frequently unclear, what the requirements were and where to find materials mentioned in the assignments. You should also take into account, that 1) the main focus of the course is the hadoop streaming, 2) knowledge of docker is not a requirement for the course, but still is very useful

교육 기관: Janneke V

2018년 2월 1일

Learned a lot, but the videos alone aren't really enough to get you through the assignments. Also, the assignments have a 'bottleneck' at the grading system where you know the answer is correct yet the grader won't accept it because your route to the answer is different than standard.

교육 기관: NU

2019년 5월 14일

The course content is good, but you will have a horrible time with the grader system. You will have to spend lot of additional hours which you shouldn't be. I could have learned a lot more if the assignments are clear and if the mentors are active. Many links are broken as well.

교육 기관: Shivam J

2020년 5월 8일

Although the faculties were knowledgable, it was very difficult to understand them sometimes. Also, the course is not up to date. The instructions given in the video to upload assignments was not matching to the ongoing scenario.

교육 기관: Guryanov A

2018년 6월 14일

Practical tasks could use some work: it would not hurt to have more of them, but to improve them with good notebooks like Andrew NG's deep learning course (maybe not as simple as his, but mode informative for sure)

교육 기관: Dmitry P

2018년 10월 19일

Quizzes in this course ask questions that are not covered in lectures. Subtitles are full of mistakes and typos. Other than that, the material of the course is very interesting.

교육 기관: Alexey S

2018년 1월 29일

Good (not excellent) as a technical presentations, but mediocre as a university class .

Clearly. done by an engineer, not a professional teacher

교육 기관: Usman

2018년 2월 27일

Great course but the assignments are a mess. The grader is unreliable and they are all sorts of problems. The content is great though.

교육 기관: Alberto B

2018년 6월 25일

Bad support, terrible problems with the UI, some homeworks are poorly explained. Nevertheless, the course's content is very good.

교육 기관: Aleksey A

2017년 12월 3일

Good material, but very slow system for check hadoop and spark notebooks. I spent much more hours for complete practice tasks.

교육 기관: Nedashkovsky S

2019년 11월 18일

It's interesting course, but the loss of time due to incorrect operation of the task verification system is frustrating

교육 기관: Harish S

2018년 10월 26일

Too advanced for beginners. Some working knowledge needed in big-data stream before starting this course.

교육 기관: Arnab B

2019년 12월 26일

The lectures are very fast and to me accent for some of the presenters are difficult to understand.

교육 기관: Papadopoulos K

2018년 9월 24일

The subject is very interesting but the grading system is very problematic and difficult.

교육 기관: Chuishi

2018년 1월 7일

I can't say this is an easy-understanding course.

I have some knowledge on the Hadoop, MapReduce, and Spark. But the lectures in this course are not well organized and clearly presented. Many concepts are too abstract for people to digest and follow. They only talk about very limited theoretical knowledge, and the examples only mess up with your knowledge base.

Two points for the free access.

교육 기관: Rickard B

2018년 1월 24일

The content of course is quite good and I really appreciate the instructors taking time to prepare the videos. The grading system for the programming assignments is appalling though. Coding tasks are not hard, but hours are spent deciphering cryptic messages from the automatic grader and little feedback is provided for debugging.

교육 기관: Luis V

2018년 1월 9일

This course has potential to improve and to be a very good course, but serious problems with the assignments or the graders, and the lack of care in the assembly of some lessons and their corresponding quizzes make impossible to recommend it to anyone interested in a serious and high quality course on the topics of big data.

교육 기관: Partha C

2020년 4월 7일

The pronunciation is hard to understand and most of the in-course tools does not work

교육 기관: Kirill P

2019년 6월 3일

This course is for beginners which have a couple of years of BigData experience

교육 기관: Hitesh G

2019년 5월 13일

Assignment tool were not working. In every week there is problem.

교육 기관: Onyeka D

2020년 10월 20일

Very difficult to understand the instructors accents

교육 기관: Lorenzo M

2019년 8월 5일

Some online tools that are really important for assignments do not work for days and noone in the stuff answers in the forum and neither in the slack channel dedicated to the course.

교육 기관: Michael S

2019년 9월 14일

No support at all from the team, exercise description often imprecise, wrong formulas have been used.